首个连接菜谱目标、步骤与图像的真实世界数据集
RecipeGen: A Benchmark for Real-World Recipe Image Generation
- 构建从菜谱目标到步骤再到图像的全流程数据链
- 涵盖多样食材、烹饪方式与食品类别，覆盖真实场景
- 适合食品计算、生成模型与交互平台研究者使用
食谱图像生成是食品计算中的重要挑战，应用于厨艺教育到互动食谱平台等多个场景。然而，目前尚无全面连接食谱目标、顺序步骤与对应图像的真实世界数据集。为此，我们提出了RecipeGen，首个面向食谱生成的真实世界目标-步骤-图像基准数据集，包含多样化食材、多样的烹饪步骤、多种烹饪风格及广泛的食品类别。数据集已公开于 https://github.com/zhangdaxia22/RecipeGen。
原文摘要 · Abstract (English)
Recipe image generation is an important challenge in food computing, with applications from culinary education to interactive recipe platforms. However, there is currently no real-world dataset that comprehensively connects recipe goals, sequential steps, and corresponding images. To address this, we introduce RecipeGen, the first real-world goal-step-image benchmark for recipe generation, featuring diverse ingredients, varied recipe steps, multiple cooking styles, and a broad collection of food categories. Data is in https://github.com/zhangdaxia22/RecipeGen.
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